bgl3 · Linear
reference_bgl3_lr_mr5_contiguousf1_20261104-221948
Metrics
| Set | mse | pearsonr | spearmanr | r2 | above_wt_n | above_wt_spearmanr | budget_to_max | hit_rate_at_10 | mean_at_10 | max_at_10 | precision_at_10 | tie_share_at_10 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | tie_share_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | tie_share_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | tie_share_at_1pct | captured_at_1pct |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 1.8075 | 0.1955 | 0.1973 | 0.0221 | 151.0000 | 0.0646 | 1744.0000 | 0.0000 | -2.7797 | -0.5108 | 0.0000 | 0.0000 | -0.4846 | 0.0400 | -2.1303 | 0.2216 | 0.0200 | 0.0000 | -0.2441 | 0.0500 | -1.7074 | 0.2216 | 0.0300 | 0.0000 | -0.0366 | 0.0588 | -2.0886 | 0.2216 | 0.0000 | 0.0000 | -0.2156 |
| validation | 1.9685 | -0.0803 | -0.0686 | -0.0327 | 26.0000 | 0.1822 | 185.0000 | 0.0000 | -2.6137 | -0.9146 | 0.0000 | 0.0000 | -0.4158 | 0.0200 | -2.6408 | 0.1282 | 0.0200 | 0.0000 | -0.4889 | 0.0200 | -2.4850 | 0.1840 | 0.0300 | 0.0000 | -0.4312 | 0.0000 | -2.7370 | -0.9146 | 0.0000 | 0.0000 | -0.4813 |
| test | 1.6967 | -0.0143 | -0.0071 | -0.1825 | 40.0000 | -0.0392 | 874.0000 | 0.0000 | -1.6841 | -0.2389 | 0.0000 | 0.0000 | -0.2553 | 0.0000 | -2.0284 | -0.0988 | 0.0000 | 0.0000 | -0.5660 | 0.0300 | -1.6990 | 0.5351 | 0.0800 | 0.0000 | -0.3567 | 0.0000 | -1.7381 | -0.2389 | 0.0000 | 0.0000 | -0.2822 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5_contiguousf1 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 1 min_reads: 5 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7